Estimating the Kinetic Prefactor for Membrane Tube Fission from Fluctuation Dynamics

IF 3.7 3区 生物学 Q2 BIOPHYSICS
Russell Spencer,Alireza Soleimani,Marcus Müller
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引用次数: 0

Abstract

Membrane fission is an essential process in cellular organization, governed by both the free-energy barrier separating the (meta)stable states and a kinetic prefactor that encodes membrane dynamics. While advances in continuum and field-based models have made it possible to calculate free-energy barriers for membrane remodeling, estimating the corresponding rates remains challenging because the dynamical prefactor is difficult to determine. We combine coarse-grained particle simulations with previously computed free-energy landscapes to quantify the relaxation dynamics of fluctuating membrane tubes and extract the kinetic prefactor entering the Kramers rate expression. By analyzing the statistics and temporal correlations of tube-radius fluctuations, we demonstrate explicit scaling relationships between relaxation time, diffusion, and tube geometry, replacing heuristic dimensional estimates with direct measurement. Although demonstrated for membrane tubes, this framework provides a general strategy for connecting equilibrium free-energy calculations to dynamical rate predictions in a wide range of membrane-remodeling processes.
从波动动力学估计膜管裂变的动力学前因子
膜裂变是细胞组织中的一个重要过程,它受自由能势垒和动力学前因子的共同作用。虽然连续体模型和基于现场的模型的进步使得计算膜重塑的自由能垒成为可能,但估计相应的速率仍然具有挑战性,因为动态前因子难以确定。我们将粗粒度粒子模拟与先前计算的自由能景观相结合,量化波动膜管的松弛动力学,并提取进入Kramers速率表达式的动力学前因子。通过分析管半径波动的统计数据和时间相关性,我们证明了松弛时间、扩散和管几何之间的显式比例关系,用直接测量取代了启发式尺寸估计。尽管对膜管进行了验证,但该框架为在广泛的膜重塑过程中将平衡自由能计算与动态速率预测联系起来提供了一种通用策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biophysical journal
Biophysical journal 生物-生物物理
CiteScore
6.10
自引率
5.90%
发文量
3090
审稿时长
2 months
期刊介绍: BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.
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